Bibliography (13):

1. From Vision to Language: Semi-Supervised Learning in Action…at Scale

2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

3. ImageNet Large Scale Visual Recognition Challenge

4. Exploring the Limits of Weakly Supervised Pretraining

5. ImageNet-A: Natural Adversarial Examples

6. Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

7. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

8. RandAugment: Practical automated data augmentation with a reduced search space

9. https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet

10. https://github.com/google-research/noisystudent

11. Wikipedia Bibliography:

    1. William Sealy Gosset

    2. Weak supervision § Semi-supervised learning

    3. Data augmentation